Publication IEICE TRANSACTIONS on Information and SystemsVol.E90-DNo.2pp.603-605 Publication Date: 2007/02/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e90-d.2.603 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: speech recognition, feature compensation, IMM, noise masking,
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Summary: In this letter, we propose a new approach to estimate the degree of noise masking based on a sophisticated model for clean speech distribution. This measure, named as noise masking probability (NMP), is incorporated into the feature compensation technique to achieve robust speech recognition in noisy environments. Experimental results show that the proposed approach improves the performance of the baseline recognition system in the presence of various background noises.